Roadmap to Computer Vision - AI & Machine Learning

Computer Vision (CV) is nowadays one of the main application of Artificial Intelligence (eg. Image Recognition, Object Tracking, Multilabel Classification). In this article, I will walk you through some of the main steps which compose a Computer Vision System.

Using remote and event-triggered AI Platform Pipelines

Using remote and event-triggered AI Platform Pipelines. Setting up remote and event-triggered ML pipeline jobs on Google Cloud

The Next Frontier In Machine Learning Is Something Anyone Can Master

The Next Frontier In Machine Learning Is Something Anyone Can Master. The most important thing in getting machine learning to work properly is training data. And even more importantly, the skills required to make a good training set have nothing to do with math, computers, or engineering.

AI Trends: Top 5 Trends to Watch Out In 2021

I will discuss the latest AI trends that will be prevailing in 2021. I hope it will help you in surging ahead with their AI Development.

Lending DocAI fast tracks the home loan process

Through Document AI, we've started bringing this technology to some of the largest enterprise content problems in the world. And with Lending DocAI, now in preview, we're delivering our first vertically specialized solution in this realm.

How to create and deploy a model card in the cloud with Scikit-Learn

How to create and deploy a model card in the cloud with Scikit-Learn. In this blog post, I hope to show how easy it is for you to create your own model card. We will use the popular scikit-learn framework, but the concepts you learn here will apply whether you're using TensorFlow, PyTorch, XGBoost, or any other framework.

Starting A Successful AIOps Initiative

Starting A Successful AIOps Initiative. The challenge is that it’s very easy for AIOps initiative go wrong if the IT team skips over the necessary data considerations.

Tiny Machine Learning: The Next AI Revolution

The goal of this article is to introduce the reader to the idea of tiny machine learning and its future potential. In-depth discussion of specific applications, implementations, and tutorials will follow in subsequent articles in the series.

The Fourth Industrial Revolution: Taking The Robotics Out Of Human Jobs

The Fourth Industrial Revolution: Taking The Robotics Out Of Human Jobs. At top of their agenda: the Fourth Industrial Revolution and its impact on people and economies and Taking the Robotics Out Of Human Jobs.

Will AutoML Software Replace Data Scientists? - Experfy Insights

Will AutoML software replace Data Scientists? AutoML is not a threat for Data Scientists. AutoML is a generic expression to indicate pieces of software that perform Machine Learning tasks automatically.

How Waze predicts carpools using Google Cloud AI Platform

How Waze predicts carpools using Google Cloud AI Platform. In this post we’ll focus on the machine learning part of the system responsible for ranking those candidates.

How to migrate your custom ML models to Google Cloud in 3 steps

This blog will provide an overview of how this solution works and the expected user journey, and instructions for orchestrating a TensorFlow training job on AI Platform.

Creating Top-Performing Neural Networks Without Defining Architectures

In this article, we’ll go over: How to install AutoKeras for neural architecture searches. How to use AutoKeras to find the best neural architectures using structured, image, and text data for regression and classification tasks. How to evaluate, predict, export to Keras/TensorFlow, and view architecture of obtained high-performing models.

Latent graph neural networks: Manifold learning 2.0?

Latent graph neural networks: Manifold learning 2.0?. In this post, I draw parallels between recent works on latent graph learning and older techniques of manifold learning.

Untold Truths of being a Machine Learning Engineer

The main point of it was the untold truths of being a machine learning engineer. I am sharing the key takeaways in a curated manner as I was one of the more active participants.

The Nuts and Bolts of Deep Learning Algorithms for Object Detection

In this blog post, we’ll look at the basic methods of object detection (Exhaustive Search, R-CNN, Fast R-CNN and Faster R-CNN) and try to understand the technical details of each model.

Forrester names Google Cloud a Leader in Notebook-based Machine Learning

Forrester evaluated 12 notebook-based predictive analytics and machine learning solutions against a set of pre-defined criteria. In addition to being named a leader, Google Cloud received the highest possible score in eleven evaluation criteria including explainability, security.

Orchestrated Iterative Change Delivers On Step-Change Expectations

Orchestrated Iterative Change Delivers On Step-Change Expectations.

How AI and Blockchain could be a perfect match?

The blend of blockchain technology and Artificial Intelligence is still a largely undiscovered area. Information is the critical ingredient for developing and enhancing blockchain and AI algorithms that secures data, allowing audit all intermediary steps. How AI and Blockchain could be a perfect match?

AI and machine learning news from Google Cloud

This week at Google Cloud Next '20: OnAir we explored how Cloud AI is empowering teams with AI and ML tools and solutions across a range of skills and knowledge. We gave you a sneak peak of a set of MLOps tools including Prediction backend GA.